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ORCIDJános M. Szalai-Gindl
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2020 – today
- 2024
[j5]János Márk Szalai-Gindl
, Dániel Varga:
FPFH Revisited: Histogram Resolutions, Improved Features, and Novel Representation. IEEE Access 12: 67325-67354 (2024)- [c6]Oscar Llorente, Rana Fawzy, Jared Keown, Michal Horemuz, Péter Vaderna, Sándor Laki, Roland Kotroczó, Rita Csoma, János Márk Szalai-Gindl:
Evaluating Neighbor Explainability for Graph Neural Networks. xAI (1) 2024: 383-402 - 2023
- [i2]Oscar Llorente, Péter Vaderna, Sándor Laki, Roland Kotroczó, Rita Csoma, János Márk Szalai-Gindl:
Evaluating Neighbor Explainability for Graph Neural Networks. CoRR abs/2311.08118 (2023) - 2022
- [j4]Dániel Varga, János Márk Szalai-Gindl, Márton Ambrus-Dobai, Sándor Laki:
QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors. IEEE Access 10: 67839-67850 (2022) - 2021
- [j3]Dániel Varga, János Márk Szalai-Gindl, Bence Formanek, Péter Vaderna, László Dobos, Sándor Laki:
Template Matching for 3D Objects in Large Point Clouds Using DBMS. IEEE Access 9: 76894-76907 (2021) - [c5]Dániel Varga, János Márk Szalai-Gindl, Sándor Laki:
The Descriptiveness of Feature Descriptors with Reduced Dimensionality. ADBIS (Short Papers) 2021: 317-322 - 2020
- [b1]János Márk Szalai-Gindl:
Adatintenzív módszerek tudományos adatok kezelésére kozmológiai, térinformatikai és biológiai alkalmazásokkal. Eötvös Loránd University, Hungary, 2020
2010 – 2019
- 2019
- [j2]Clara Amid, Nima Pakseresht, Nicole Silvester, Suran Jayathilaka, Ole Lund, Lukasz D. Dynovski, Bálint Á Pataki, Dávid Visontai, Basil Britto Xavier, Blaise T. F. Alako, Ariane Belka, Jose L. B. Cisneros, Matthew Cotten, George B. Haringhuizen, Peter W. Harrison, Dirk Höper, Sam Holt, Camilla Hundahl, Abdulrahman Hussein, Rolf S. Kaas, Xin Liu, Rasko Leinonen, Surbhi Malhotra-Kumar, David F. Nieuwenhuijse, Nadim Rahman, Carolina dos S. Ribeiro, Jeffrey E. Skiby, Dennis Schmitz, József Stéger, János M. Szalai-Gindl, Martin Christen Frølund Thomsen, Simone M. Cacciò, István Csabai, Annelies Kroneman, Marion Koopmans, Frank Aarestrup, Guy Cochrane:
The COMPARE Data Hubs. Database J. Biol. Databases Curation 2019: baz136 (2019) - [c4]Dániel Varga, Sándor Laki, János M. Szalai-Gindl, László Dobos, Péter Vaderna, Bence Formanek:
On Fast Point Cloud Matching with Key Points and Parameter Tuning. ACPR (1) 2019: 498-511 - [c3]János Márk Szalai-Gindl, Attila Kiss, Gábor Halász, László Dobos, István Csabai:
ND-GiST: A Novel Method for Disk-Resident k-mer Indexing. WorldCIST (2) 2019: 663-672 - [i1]Dávid Visontai, József Stéger, János Márk Szalai-Gindl, László Dobos, László Oroszlány, István Ervin Csabai:
Kooplex: collaborative data analytics portal for advancing sciences. CoRR abs/1911.09553 (2019) - 2018
- [j1]János M. Szalai-Gindl, T. J. Loredo, B. C. Kelly, István Csabai, Tamas Budavari, László Dobos:
GPU-accelerated hierarchical Bayesian estimation of luminosity functions using flux-limited observations with photometric noise. Astron. Comput. 25: 247-256 (2018) - 2017
- [c2]János M. Szalai-Gindl, László Dobos, István Csabai:
Tiling Strategies for Distributed Point Cloud Databases. SSDBM 2017: 32:1-32:6 - 2014
- [c1]László Dobos, István Csabai, János M. Szalai-Gindl, Tamás Budavári, Alexander S. Szalay:
Point cloud databases. SSDBM 2014: 33:1-33:4
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